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| Format: | Recurso digital |
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Zenodo
2025
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| Online Access: | https://doi.org/10.5281/zenodo.14783454 |
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Table of Contents:
- <p>This release corresponds to a Zenodo release. It includes the code and data associated with our forthcoming paper "Towards Efficient and Accessible Geoparsing of UK Local Media: A Benchmark Dataset and LLM-based Approach".</p> <p>Key components of this release:</p> <ul> <li><strong>LMUK-Geo Dataset:</strong> The annotated dataset of UK local news articles used in our research. This dataset is also available directly on Harvard Dataverse: https://doi.org/10.7910/DVN/SGVXIU.</li> <li><strong>Geoparsing Code:</strong> The R and Python scripts used for our LLM-driven geoparsing approach, including code for data preprocessing, model training, and evaluation.</li> </ul> <p>For detailed information on how to use the code and dataset, please refer to the README file in this repository.</p>